SpringerBriefs in Statistics

Cordeiro, Gauss M.; Cribari-Neto, Francisco

This book presents a concise introduction to Bartlett and Bartlett-type corrections of statistical tests and bias correction of point estimators. The underlying idea behind both groups of corrections is to obtain higher accuracy in small samples. While the main focus is on corrections that can be analytically derived, the authors also present alternative strategies for improving estimators and tests based on bootstrap, a data resampling technique and discuss concrete applications to several important statistical models.

Details

Published by: Springer

Publication Date: 2014-05-20

Format: Paperback

ISBN-13: 9783642552540

DOI: 10.1007/978-3-642-55255-7

Dimensions: 235cm x155cm

Pages: 107